Posts

The need is clear: AI is rapidly permeating journalism, increasing dependency on a few Big Tech companies who control much of the infrastructure underpinning commercial AI. Many in the industry have raised alarms about what this means for editorial independence, labor, and the long-term viability of journalism itself.

The inaugural conference AI & Gender-Based Harms: Implications for Policy and Practice examined the impact of AI-facilitated gender-based harms and response policies with an interdisciplinary roster of researchers, clinicians, advocates, policymakers, and practitioners. Brown CS and Data Science Institute faculty member Diana Freed co-founded and co-chaired the conference with colleagues from Fordham University, the NYC Mayor's Office to End Domestic and Gender-Based Violence, and Weill Cornell Medicine.

With a course offered this past spring semester, professors and students alike have begun grappling with the role automated AI agents have in teaching students the basics of software development.

"Most benchmarks for AI agents," the authors explain, "usually only ask one question, did the agent complete the task? And what they don't ask is whether the agent should have completed the task in the first place."

She'll study how people communicate goals to machines and design AI systems that can interpret imperfect instructions by reasoning about the intent behind them. Expected outcomes include safer decision-making technologies and new tools that help organizations deploy AI more effectively.

Brown CS faculty member Amy Greenwald and two of her past students have recently been recognized as winners of a 2026 Influential Paper Award from the International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), a non-profit organization that promotes science and technology in the areas of artificial intelligence, autonomous agents, and multiagent systems. IFAAMAS established the Influential Paper Award in 2006, and it honors research papers from past AAMAS conferences that have had lasting impact on the fields of autonomous agents and multiagent systems. Presented annually, it recognizes papers published at least ten years earlier that introduced key results, …

The Computing Research Association (CRA) is a coalition of more than 200 organizations with the mission of enhancing innovation by joining with industry, government, and academia to strengthen research and advance education in computing. Every year, they recognize North American students who show phenomenal research potential with their Outstanding Undergraduate Researcher Award, and for 2025-2026, four Brown CS students received honors: Joshua Yang (Runner-Up) as well as Arnie He, Wanjia Fu, and Alexander Portland (Honorable Mentions).

Sam Dooman, a Brown CS alum who also studied music, works as the founding engineer at Down Dog, a company that develops apps for practicing fitness at home, including yoga, high-intensity interval training, and meditation.

No stranger to controversy, AI pioneer Yann LeCun told a capacity crowd that large language models are not the future of AI and that a new approach is needed if machines are to achieve human-like intelligence.

As a tool for researchers, lawmakers, journalists and the public, the CNTR AISLE Portal provides analysis of state- and federal-level AI bills pending across the U.S.